Au service du territoire du Vercors
Communauté de communes du Massif du Vercors (vercors.org) scores 78 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Government brands, in the 69th percentile of 11407 Government brands.
Communauté de communes du Massif du Vercors is a French intercommunal administrative body located in Villard-de-Lans, Isère, founded in 2001. It brings together six municipalities-Autrans-Méaudre en Vercors, Corrençon-en-Vercors, Engins, Lans-en-Vercors, Villard-de-Lans, and Saint-Nizier-du-Moucherotte-to jointly manage public services such as water supply, sanitation, and waste management. It serves residents, businesses, and visitors within the Vercors massif region.
| Brand Name | Communauté de communes du Massif du Vercors |
|---|---|
| Domain | vercors.org |
| Industry | Government |
| Founded | 2001 |
| Headquarters | Villard-de-Lans |
| Main Competitors | Communauté de communes du Royans-Vercors, Grenoble-Alpes Métropole, Parc naturel régional du Vercors, Communauté de communes du Trièves |
Moz Domain Authority 40/100 vs category average 48 / leader 97 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #3,788,798 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Le site de la Communauté de communes du Massif du Vercors en Isère (Autrans-Méaudre en Vercors, Corrençon-en-Vercors, Engins, Lans-en-Vercors, Villard de Lans et Saint-Nizier-du-Mo…" (Meta description: 24 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), + Microdata, og:title, og:description, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is FR-only, limiting citation in English-language AI answers.
Social footprint: verified profiles on Facebook, Instagram, LinkedIn, X (Twitter), YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Communauté de communes du Massif du Vercors?", Claude could identify the brand as of October 2026. This is the intercommunal government body (communaute de communes) that administers a group of municipalities in the Vercors Massif region of France, in the Isere and Drome departments near Grenoble. It handles local public services like land use planning, economic development, t Best known for Being the local administrative authority for municipalities in the Vercors mountain region of France.
When asked "Best brands similar to Communauté de communes du Massif du Vercors?", Claude would not surface Communauté de communes du Massif du Vercors as of October 2026. It's a French local government administrative body, not a brand or company, so it wouldn't come up in a context of recommending similar businesses.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Communauté de communes du Massif du Vercors is a French intercommunal public institution (collectivité territoriale) based in Villard-de-Lans, Isère. Established in 2001, it groups together six municipalities located in the Vercors massif: Autrans-Méaudre en Vercors, Corrençon-en-Vercors, Engins, Lans-en-Vercors, Villard-de-Lans, and Saint-Nizier-du-Moucherotte. It exists to coordinate and manage public services shared among these communes, functioning as a local government body rather than a commercial enterprise.
Sources: Communauté de communes du Massif du Vercors official site
Communauté de communes du Massif du Vercors has limited AI-search visibility, scoring 34/100 on Brand Analyzer's AI visibility composite (visibility 23, trust 39, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Communauté de communes du Massif du Vercors official site
Communauté de communes du Massif du Vercors was founded in 2001. Communauté de communes du Massif du Vercors operates in the Government category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Communauté de communes du Massif du Vercors is headquartered in Villard-de-Lans. Communauté de communes du Massif du Vercors operates in the Government category.
Sources: Wikidata
The Communauté de communes du Massif du Vercors provides coordinated public services for its member communes, including water supply management, sanitation (assainissement), and waste collection and management (gestion des déchets). As an intercommunal body, it centralizes these essential services to achieve more efficient, mutualized administration across the six municipalities it represents, rather than offering commercial products.
Sources: Communauté de communes du Massif du Vercors official site
Communauté de communes du Massif du Vercors scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Government options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Communauté de communes du Massif du Vercors official site
Communauté de communes du Massif du Vercors can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Communauté de communes du Massif du Vercors official site
The institution serves residents, businesses, and visitors of the six member communes: Autrans-Méaudre en Vercors, Corrençon-en-Vercors, Engins, Lans-en-Vercors, Villard-de-Lans, and Saint-Nizier-du-Moucherotte, all located in the Vercors massif in Isère, France.
Sources: Communauté de communes du Massif du Vercors official site
It is known for serving as the intercommunal governing body for six communes in the Vercors massif of Isère-Autrans-Méaudre en Vercors, Corrençon-en-Vercors, Engins, Lans-en-Vercors, Villard-de-Lans, and Saint-Nizier-du-Moucherotte-and for coordinating shared public services such as water, sanitation, and waste management across this mountainous territory.
Sources: Communauté de communes du Massif du Vercors official site
Communauté de communes du Massif du Vercors scores 34/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Communauté de communes du Massif du Vercors has a weak AI-visibility profile at 34/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (23/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #3,788,798 (Tranco) and a Moz Domain Authority of 40/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Communauté de communes du Massif du Vercors from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Communauté de communes du Massif du Vercors: VDAB (78/100), V-Armed (78/100), Vermont Systems (78/100), Vikaspedia (78/100).
A step up - brands to learn from: Genasys (81/100), Zero Project (81/100).
Category leader: ABC News (96/100).
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